11 of 11 SAS Jobs in Manchester

Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science) 3+ years of experience in consumer product, digital media or entertainment industries Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis Hands on experience with visualization tools like Tableau or Looker Have a More ❯

Technology, or related fields. Demonstrates strong analytical skills and precision in handling and interpreting data. Familiarity with statistical software and tools (e.g., Excel, SPSS, SAS) and basic knowledge of SQL and data visualisation tools like Tableau. Possesses excellent communication skills, capable of explaining complex data in a straightforward way. More ❯

data analysis and create proposals/provide recommendations on the back of analysis Any experience with Credit risk, risk assessment, Python, Machine Learning, SPSS, SAS, statistical or MI packages would be a bonus This Data Scientist role has lots of autonomy. For example, one project may be to look More ❯

direct-to-consumer lender. You should be highly analytical with a demonstrated ability to solve problems through logical thinking. You have experience using SQL, SAS or Python for data mining and analysis. You would be comfortable extracting and analysing large datasets using SQL. You have excellent presentation skills and More ❯

complex dataset standards • Perform data checks and data exploration (e.g. using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation More ❯

complex dataset standards • Perform data checks and data exploration (e.g. using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation More ❯

complex dataset standards • Perform data checks and data exploration (e.g. using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation More ❯

complex dataset standards • Perform data checks and data exploration (e.g. using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation More ❯

complex dataset standards • Perform data checks and data exploration (e.g. using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation More ❯

complex dataset standards • Perform data checks and data exploration (e.g. using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation More ❯

channels and insurance products. You will have previous experience in general insurance pricing and be familiar with the tools of the trade, such as SAS, Python, RStudio, SQL, Emblem and Radar. With your naturally inquisitive mindset, you will be well versed in the UK personal lines insurance space, and … skills to: Conducting retail price optimisation analysis/modelling developing customer propensity and Life Time Value (LTV) models to produce the different models and SAS or SQL for data analysis Create innovative data solutions finding new ways to mine insight & present data Build and maintain sophisticated models, prioritising a … Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar software is preferred Proficient at communicating More ❯